1 /*
2 * Copyright (c) 2022 Huawei Device Co., Ltd.
3 * Licensed under the Apache License, Version 2.0 (the "License");
4 * you may not use this file except in compliance with the License.
5 * You may obtain a copy of the License at
6 *
7 * http://www.apache.org/licenses/LICENSE-2.0
8 *
9 * Unless required by applicable law or agreed to in writing, software
10 * distributed under the License is distributed on an "AS IS" BASIS,
11 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 * See the License for the specific language governing permissions and
13 * limitations under the License.
14 */
15
16 #include "slice_builder.h"
17
18 #include "mindir.h"
19
20 namespace OHOS {
21 namespace NeuralNetworkRuntime {
22 namespace Ops {
23 static const int INPUT_NUM = 3;
24 static const int OUTPUT_NUM = 1;
25 static const int PARAM_MAX_NUM = 1;
26 static const std::string OP_NAME = "Slice";
27
SliceBuilder()28 SliceBuilder::SliceBuilder() {}
29
~SliceBuilder()30 SliceBuilder::~SliceBuilder() {}
31
SetAxes(const std::shared_ptr<NNTensor> & tensor)32 OH_NN_ReturnCode SliceBuilder::SetAxes(const std::shared_ptr<NNTensor>& tensor)
33 {
34 if (tensor->GetDataType() != OH_NN_INT64) {
35 LOGE("[SliceBuilder] The axes should be type OH_NN_INT64.");
36 return OH_NN_INVALID_PARAMETER;
37 }
38
39 m_axes.clear();
40
41 void* buffer = tensor->GetBuffer();
42 if (buffer == nullptr) {
43 LOGE("[SliceBuilder] Tensor buffer is nullptr.");
44 return OH_NN_INVALID_PARAMETER;
45 }
46
47 int64_t* pAxes = static_cast<int64_t*>(buffer);
48
49 uint32_t elementCount = tensor->GetElementCount();
50 for (uint32_t i = 0; i < elementCount; ++i) {
51 m_axes.emplace_back(*pAxes);
52 ++pAxes;
53 }
54 return OH_NN_SUCCESS;
55 }
56
57 /**
58 * Build method.
59 * 1.set attr of ops.
60 * 2.set inputIndex of ops.
61 * 3.set outputIndex of ops.
62 */
Build(const std::vector<uint32_t> & paramsIndex,const std::vector<uint32_t> & inputsIndex,const std::vector<uint32_t> & outputsIndex,const std::vector<std::shared_ptr<NNTensor>> & allTensors)63 OH_NN_ReturnCode SliceBuilder::Build(const std::vector<uint32_t>& paramsIndex,
64 const std::vector<uint32_t>& inputsIndex,
65 const std::vector<uint32_t>& outputsIndex,
66 const std::vector<std::shared_ptr<NNTensor>>& allTensors)
67 {
68 if (m_isBuild) {
69 LOGE("[SliceBuilder] Slice operation has been build, cannot build again.");
70 return OH_NN_OPERATION_FORBIDDEN;
71 }
72
73 OH_NN_ReturnCode returnCode = CheckIOIndex(inputsIndex, outputsIndex, allTensors, INPUT_NUM, OUTPUT_NUM);
74 if (returnCode != OH_NN_SUCCESS) {
75 LOGE("[SliceBuilder] Passed invalid input or output index.");
76 return returnCode;
77 }
78
79 returnCode = CheckParamIndex(paramsIndex, allTensors, PARAM_MAX_NUM);
80 if (returnCode != OH_NN_SUCCESS) {
81 LOGE("[SliceBuilder] Passed invalid param index.");
82 return returnCode;
83 }
84
85 for (int i : paramsIndex) {
86 std::shared_ptr<NNTensor> tensor = allTensors[i];
87 tensor->IdentifyOpParameter();
88 if (m_paramMap.find(tensor->GetType()) != m_paramMap.end()) {
89 returnCode = (this->*(m_paramMap[tensor->GetType()]))(tensor);
90 } else {
91 LOGE("[SliceBuilder] Build failed, param invalid, type=%d", tensor->GetType());
92 return OH_NN_INVALID_PARAMETER;
93 }
94
95 if (returnCode != OH_NN_SUCCESS) {
96 LOGE("[SliceBuilder] Build failed, passed invalid param.");
97 return returnCode;
98 }
99 }
100
101 m_inputsIndex = inputsIndex;
102 m_outputsIndex = outputsIndex;
103
104 // The quantization type of the first output determinies that of the operator.
105 SetQuantType(outputsIndex, allTensors);
106
107 m_name = OP_NAME;
108 m_isBuild = true;
109 return OH_NN_SUCCESS;
110 }
111
GetPrimitive()112 LiteGraphPrimitvePtr SliceBuilder::GetPrimitive()
113 {
114 if (!m_isBuild) {
115 LOGE("[SliceBuilder] Cannot get primitive before call build.");
116 return {nullptr, DestroyLiteGraphPrimitive};
117 }
118
119 auto primitive = mindspore::lite::MindIR_SliceFusion_CreatePrimitive(m_axes);
120 if (primitive == nullptr) {
121 LOGE("[SliceBuilder] MindIR_SliceFusion_CreatePrimitive failed.");
122 return {nullptr, DestroyLiteGraphPrimitive};
123 }
124
125 LiteGraphPrimitvePtr graphPrimitivePtr(primitive, DestroyLiteGraphPrimitive);
126 return graphPrimitivePtr;
127 }
128
129 REGISTER_OPS(SliceBuilder, OH_NN_OPS_SLICE);
130 } // namespace ops
131 } // namespace NeuralNetworkRuntime
132 } // namespace OHOS
133